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Dynamics of multi-point singular fifth-order Lane–Emden system with neuro-evolution heuristics

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Date

2022

Authors

Sabir, Zulqurnain
Ali, Mohamed R.
Fathurrochman, Irwan
Raja, Muhammad Asif Zahoor
Sadat, R.
Baleanu, Dumitru

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Abstract

The objective of the presented communication is to examine and analyze the solutions of nonlinear multi-singular fifth-order Lane–Emden (LE) system for different scenarios by variation of shape factors settled on the equivalent design of the LE equations. The neuro-evolution based stochastic computing is explored for the numerical measures using the artificial neural networks (ANNs) models for the appropriate continuous mapping, while the learning of decision variables is conducted using the integrated meta-heuristic global search of genetic algorithms (GA) hybrid with the local search efficiency of active-set (AS) i.e., ANN-GA-AS scheme. The numerical approach ANN-GA-AS is applied efficiently for the fifth kind of nonlinear LE model and statistical calculations further validate the accuracy, robustness as well as convergence.

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Active-Set Method, Artificial Neural Networks, Statistical Assessments, Genetic Algorithms, Lane–Emden System, Numerical Computing, Singular Systems

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Citation

Sabir, Zulqurnain;...et.al. (2022). "Dynamics of multi-point singular fifth-order Lane–Emden system with neuro-evolution heuristics", Evolving Systems, Vol.13, No.6, pp.795-806.

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Evolving Systems

Volume

13

Issue

6

Start Page

795

End Page

806